Longitudinal Epidemiology

纵向流行病学

基本信息

批准号：
10628510
负责人：
GABRIEL Alejandro DE ERAUSQUIN
金额：
$ 54.32万
依托单位：
UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-08-15 至 2028-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10628510
关键词：
2019-nCoV Acute Address Admission activity Admixture Adult Affect African African American population Age Years Alzheimer&apos s Disease Alzheimer&apos s disease related dementia Alzheimer&apos s disease risk Ambulatory Care Amerindian Anosmia Biological Markers Biological Process COVID-19 COVID-19 severity COVID-19 survivors Caring Chronic Clinical Cognitive Complex DNA sequencing Data Dementia Dimensions Disease Elderly Emotional Enrollment Epidemiology Genetic Genetic Variation Genome Guidelines Hispanic Hospitalization Impaired cognition Individual Infection Influenza Intensive Care International Latino Population Long COVID Mechanical ventilation Medical Mexican Americans Moods Morbidity - disease rate Native Americans Natural History Nature Neurocognitive Nigeria Olfactory Cortex Outcome Patients Performance Peripheral Persons Phase Population Publishing Recording of previous events Recovery Reporting Research Personnel Risk SARS-CoV-2 exposure SARS-CoV-2 infection Seroprevalences Severities Site Symptoms Syndrome Texas acute symptom amnestic mild cognitive impairment arm cognitive change deep learning design follow-up genomic variation high risk hyposmia long-term sequelae longitudinal course mortality neuroimaging novel coronavirus post SARS-CoV-2 infection precision medicine resilience factor segregation whole genome

2019-nCoV Acute Address Admission activity Admixture Adult Affect African African American population Age Years Alzheimer&apos s Disease Alzheimer&apos s disease related dementia Alzheimer&apos s disease risk Ambulatory Care Amerindian Anosmia Biological Markers Biological Process COVID-19 COVID-19 severity COVID-19 survivors Caring Chronic Clinical Cognitive Complex DNA sequencing Data Dementia Dimensions Disease Elderly Emotional Enrollment Epidemiology Genetic Genetic Variation Genome Guidelines Hispanic Hospitalization Impaired cognition Individual Infection Influenza Intensive Care International Latino Population Long COVID Mechanical ventilation Medical Mexican Americans Moods Morbidity - disease rate Native Americans Natural History Nature Neurocognitive Nigeria Olfactory Cortex Outcome Patients Performance Peripheral Persons Phase Population Publishing Recording of previous events Recovery Reporting Research Personnel Risk SARS-CoV-2 exposure SARS-CoV-2 infection Seroprevalences Severities Site Symptoms Syndrome Texas acute symptom amnestic mild cognitive impairment arm cognitive change deep learning design follow-up genomic variation high risk hyposmia long-term sequelae longitudinal course mortality neuroimaging novel coronavirus post SARS-CoV-2 infection precision medicine resilience factor segregation whole genome

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项目摘要

P1 Abstract The novel coronavirus, SARS-CoV-2, spread worldwide, resulting in devastating consequences. Our preliminary data and several published studies strongly suggest that, in adults over 60 years of age, post- infectious cognitive impairment is present in nearly half of affected people, potentially regardless of the severity of acute COVID-19 illness. Given the already alarming and increasing numbers of persons with Alzheimer's dementia and related dementias (ADRD) globally, it is essential that we investigate and understand the degree and manner and in which SARS-CoV-2 may place older persons at higher risk of progressive cognitive decline and even ADRD. We have put together an international consortium of investigators uniquely poised to collect and analyze a broad range of high quality clinical, biomarker, genome, and neuroimaging data. The study, entitled Interaction between SARS-CoV-2 Infection and Ancestral genomic Variations in the Risk of Alzheimer's Disease (ISAVRAD), proposes a five-site, international, two-arm (patients and controls), longitudinal (baseline, 18 and 36-months) design enrolling 4,300 individuals with and without history of SARS- CoV-2. Project 1 of ISAVRAD will describe the longitudinal course, epidemiological risk/resiliency factors, and environmental interactions predictive of cognitive decline and progress to ADRD following SARS-CoV-2 infection in adults over 60 years of age from ancestral and admixed populations. Specifically, Project 1 will longitudinally compare the rate of cognitive decline in older adults with and without exposure to SARS-CoV-2 infection (Aim 1). We hypothesize that cognitive changes will be progressive in nature and increase rates of ADRD based on Clinical Dementia Rating scores and neurocognitive performance. For the infected group, we will compare outcomes by severity of COVID-19 symptoms and the presence and severity of anosmia, under the hypothesis that that hyposmia/anosmia, but not acute COVID-19 severity, will predict the presence and likelihood of progression of cognitive impairment and ADRD (Aim 2). Finally, working with the Neuroimaging,and Projects 2 and3, we will identify predictors of SARS-CoV-2-induced cognitive decline. We hypothesize that specific symptoms (anosmia-hyposmia) will segregate with related neuroimaging changes (in the olfactory cortical network) and risk will be influenced by genetic ancestry to predict the highest risk of cognitive decline and new onset ADRD (Aim 3).

P1摘要新颖的冠状病毒SARS-COV-2在全球范围内传播，导致了毁灭性的后果。我们的初步数据和几项已发表的研究强烈表明，在60岁以上的成年人中，感染性认知障碍近一半是受影响的人，无论严重程度如何急性共同疾病。鉴于已经有着令人震惊和增加的阿尔茨海默氏症的人数痴呆症和相关痴呆症（ADRD）在全球范围内，我们必须调查和了解该程度至关重要和方式以及SARS-COV-2可能使老年人处于渐进认知能力下降的风险更高甚至是ADRD。我们汇集了一个国际调查人员联盟，旨在收集并分析广泛的高质量临床，生物标志物，基因组和神经影像学数据。研究，标题为SARS-COV-2感染与祖先基因组变异之间的相互作用阿尔茨海默氏病（Isavrad）提出了五个站点，国际，两臂（患者和对照组），纵向（基线，18和36个月）的设计招募了4,300个人，有和没有SARS的历史 COV-2。 Isavrad的项目1将描述纵向过程，流行病学风险/弹性因素以及 SARS-COV-2之后的认知能力下降和进步的环境互动预测了ADRD的进步 60岁以上的成年人感染祖先和混杂人群。具体而言，项目1将纵向比较有或没有暴露于SARS-COV-2的老年人的认知能力下降率感染（目标1）。我们假设认知变化本质上是渐进的，并提高了基于临床痴呆评分评分和神经认知性能的ADRD。对于受感染的组，我们将根据199症状的严重程度和厌氧的存在和严重程度来比较结果。假说低血症/厌食症，但不是急性共vid-19的严重程度，将预测存在和认知障碍和ADRD进展的可能性（AIM 2）。最后，与神经影像学和项目2和3，我们将确定SARS-COV-2诱导认知能力下降的预测指标。我们假设特定症状（厌氧 - 高疾病）会随着相关的神经影像的变化而隔离（IN 嗅觉皮质网络）和风险将受到遗传血统的影响，以预测最高的风险认知能力下降和新发作ADRD（AIM 3）。